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MERT Is trained on a context window of 5 seconds (!) which might explain the deterioration in sample quality over longer sequences noticed by @Saltb0xApps in the discordconfirmed by the m-a-p team that MERT generalizes to longer context lengths, and still holds SOTA performance on various tasks. Will leave the option to specify a shorter hubert context length, but won't be used if not specified in config.bin_size
option to average adjacent hubert features to reduce the number of semantic tokens